Machine Learning Engineer Remote Jobs in Pennsylvania (US)
This page tracks remote machine learning engineer openings that are location-eligible for Pennsylvania.
This page tracks remote machine learning engineer openings that are location-eligible for Pennsylvania.
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Headquartered in Seattle, Washington, Avalara has been disrupting the world of sales tax management since its inception in 2004. Since the company was founded, its dedicated team h
Role Description Avalara is looking for an AI Automation Engineer to help build an enterprise-grade automation ecosystem that improves how work is automated, orchestrated, governed, and scaled across the company. In this high-impact individual contributor role, you will use n8n as a core platform to design secure, reliable, and measurable automation solutions that reduce manual work, improve process quality, and support faster business transformation. You will work across functions to embed artificial intelligence-enabled workflows, intelligent decisioning, reusable automation patterns, and observability into enterprise processes. You will help Avalara raise its automation standards by building practical solutions, mentoring others, and improving how teams use artificial intelligence to increase productivity, quality, and operational scale. You will report to Sr Director, IT Support. Responsibilities - Engineer scalable, secure, and resilient automation solutions using n8n and related integration platforms. - Design hybrid automation patterns using n8n, Boomi, application programming interfaces, event-driven systems, and artificial intelligence agents. - Build artificial intelligence-enabled workflows that support intelligent decisioning, human-in-the-loop controls, prompt management, and model integrations. - Define development standards, reusable templates, exception handling, retry strategies, approval patterns, and security protocols for enterprise automation. - Implement environment strategies, continuous integration and continuous delivery pipelines, versioning, and governance models for automation workflows. - Establish logging, monitoring, reliability guardrails, anomaly detection, and alerting to improve uptime, workflow trust, and recovery time. - Define responsible artificial intelligence governance for model selection, cost controls, prompt and version management, data privacy, and auditability. - Lead technical design sessions, workflow reviews, architecture reviews, and post-incident reviews. - Mentor engineers, contractors, and implementation teams on automation design, artificial intelligence agents, prompt engineering, and responsible automation practices. - Use metrics such as adoption, cycle-time reduction, service levels, recovery time, cost per workflow, and business impact to guide improvement. Qualifications - Bachelor's degree in Computer Science Engineering. - 10+ years of experience in enterprise automation, workflow engineering, integration engineering, or platform architecture. - Deep hands-on experience with n8n or Boomi, including building cross-functional automations, artificial intelligence-enabled workflows, agents, and orchestration patterns. - Experience designing application programming interface-first and event-driven architectures, including REST, webhooks, OAuth, JSON Web Tokens, application programming interface security, and secure integration of artificial intelligence services. - Experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including artificial intelligence or machine learning services such as Amazon Bedrock or Azure OpenAI. - Applied experience using large language models, prompt engineering, artificial intelligence agents, observability, monitoring, and automation metrics to improve productivity, reliability, quality, scale, cost, or cycle time. Benefits - Total Rewards: In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. - Health & Wellness: Benefits vary by location but generally include private medical, life, and disability insurance. - Inclusive culture and diversity: Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. Company Description Avalara is an AI-first Company. AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability. You’ll bring experience using AI and AI-related technologies, ready to thrive here. You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers. You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too. We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer. Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.
• Design, develop, and deploy AI/ML solutions to modernize core pharmacy platforms, with a focus on scalability, reliability, performance, and security • Leverage Generative AI, LLMs, and agentic AI frameworks to automate and enhance pharmacy workflows and decision-making processes • Collaborate with business and technical stakeholders to understand pharmacy domain requirements and translate them into robust AI/ML-driven technical solutions • Contribute to architecture and technical design of AI/ML pipelines, including model selection, data integration, and deployment patterns • Establish and maintain AI/ML engineering standards, best practices, and quality assurance processes • Conduct code reviews, provide constructive feedback, and mentor engineers on modern AI/ML engineering practices • Partner with cross-functional teams including data scientists, product managers, platform engineers, and pharmacy domain experts • Translate legacy system modernization needs into scalable AI applications that enhance products, workflows, and operational efficiency • Monitor and optimize AI/ML model performance, resource utilization, and platform reliability • Collaborate with DevOps and infrastructure teams to ensure secure, scalable deployment and operations of AI/ML solutions • Stay current with advancements in AI/ML frameworks, Generative AI, LLMs, and pharmacy technology modernization
• Collaborate with cross-functional teams to design scalable AI architectures • Contribute to innovative projects that leverage generative AI and large language models • Develop and deploy cutting-edge AI solutions • Work with advanced machine learning models and frameworks, focusing on cloud technologies and intelligent AI applications
Role Description Direct Supply is building AI systems that change how care is delivered to millions of seniors and support the people who care for them. We're hiring engineers to design, ship, and operate those systems in production. This role spans the full product lifecycle: discovery, experimentation, application delivery, and deployment. You'll work directly with customers and product teams, own technical calls, and see your product used at scale. We expect technical rigor, architecture discipline, strong product judgment, and a track record of shipping. In return, you get autonomy and real customer impact. - Design, build, and operate systems in customer-facing production environments - Translate ambiguous business and customer problems into prototypes & technical specs - Track AI capabilities and apply them where they create clear leverage - Own the full application lifecycle: product discovery, experimentation, evaluation, deployment, and monitoring - Own system design, tradeoffs, and long-term scaling and maintainability - Build code bases that are legible to agents and other developers; drive the organization forward on tooling - Partner with product managers to enhance their product vision, including with AI-native solutions Qualifications - Strong applied AI and software engineering fundamentals - Builders who can span tech, product, and design thinking with high autonomy - Bias for shipping, iterating, and following customer feedback over polish - High ownership & agency — measured by outcomes, not deliverables - Curiosity to improve systems, products, and your own craft Requirements - 2+ years in software engineering or applied AI - Experience working with AI development tools in full-stack applications - Experience designing AI-based solutions to real workflows - Working knowledge of cloud and frontier AI platforms Nice to Have - Degree in Computer Science, Engineering, Data Science, or a related field - Experience operating AI systems in production, with attention to evaluation, cost, and performance tradeoffs - Background in high-ambiguity environments with proximity to customers (e.g., early-stage startups, forward-deployed engineering, internal product teams) - Experience in large-scale Python, C#, and TypeScript codebases - Experience integrating AI solutions into existing, established products - Experience working with healthcare, regulated, or sensitive data Benefits - Generous benefit package available
Role Description GEICO is seeking a Senior Staff Engineer to serve as a lead builder on a focused, high-impact engineering team responsible for designing and delivering scalable, production-grade systems that power AI-driven workflows across the enterprise. - Focus on multiple areas and provide technical and thought leadership to design, build, and productionize an enterprise application. - Develop and execute technical software development strategy for a variety of domains. - Experience building, integrating, or extending solutions across enterprise collaboration platforms such as Slack, Outlook, Zoom, SharePoint, and Copilot. - Accountable for the quality, usability, and performance of the solutions. - Influence and educate leadership at all levels. - Consistently share best practices and improve processes within and across teams. - Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsorship of continuous learning. - Collaborate with application teams and business partners to standardize file sharing practices and scale product from 0 to 1. Qualifications - Deep hands-on experience in complex system design and development of multi-tier distributed systems. - Fluent in at least two OOP languages such as Java, Go, Python, C++, etc. - Experience partnering with engineering teams and transferring research to production. - Experience with continuous delivery and infrastructure as code. - In-depth knowledge of CS data structures and algorithms. - Experience solving analytical problems with quantitative approaches. - Ability to excel in a fast-paced, startup-like environment. - Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, test automation and related tools, operations, real-time communication). - Experience in CI/CD pipeline and related open-source tools like GIT/Jenkins/CircleCI/SonarQube; knowledge in Terraform/Ansible is a big plus. - Knowledge of open-source monitoring software like Grafana and Prometheus. - Familiarity with messaging and event solutions like Azure Service Bus and Azure Event Hub is a plus. Requirements - 10+ years of professional experience in software engineering. - 8+ years of experience in building scalable 3-tier production applications touching millions of customers. - 6+ years of experience with open-source frameworks is desired. - 4+ years of experience with AWS, GCP, Azure, and DevOps practices. Benefits - Competitive pay, benefits, and flexibility to support your well-being and future. - Personalized development programs, mentorship, and certification assistance. - Inclusive and collaborative culture rooted in shared success.
The intelligent solutions provider defining the future of property and casualty (P&C) and general insurance
Role Description The Senior AI/ML Software Engineer at Duck Creek Technologies is a high-impact technical leadership role responsible for providing deep expertise and strategic direction in the development of advanced software solutions for the insurance technology sector. This position focuses on technical innovation, architectural excellence, and the delivery of complex intelligent systems. - Serve as the technical lead for large-scale, complex software projects, ensuring architectural integrity, scalability, and performance. - Provide expert guidance on software design, architecture, and implementation strategies to ensure alignment with business and technical objectives. - Drive technical innovation and evaluate emerging technologies to integrate into the development ecosystem. - Lead the design and development of key system components, frameworks, and services that form the foundation of Duck Creek’s product offerings. - Collaborate with Product Management, Quality Assurance, and other Engineering teams to deliver high-quality, on-time software solutions. - Influence technical roadmaps and make architectural decisions that support long-term scalability and maintainability. - Ensure adherence to software development best practices, including coding standards, testing, security, and performance optimization. - Partner with engineering teams across the organization to solve complex technical challenges and drive engineering excellence. - Conduct design reviews, code reviews, and provide constructive feedback to engineering teams. - Develop and maintain detailed technical documentation that supports the engineering teams in delivering solutions efficiently. - Work closely with DevOps to ensure continuous integration and deployment pipelines are optimized for fast and reliable software delivery. - Act as a thought leader within the engineering organization, contributing to technical discussions, knowledge sharing, and fostering a culture of technical excellence. Qualifications - Bachelor’s or Master’s Degree and/or equivalent experience relevant to functional area. - 6+ years software development experience with 3+ years of technical leadership experience. - Extensive experience of developing highly available and elastically scalable cloud services in .NET. - Proficient in Python programming and exposure to machine learning development using libraries such as PyTorch, scikit-learn, and pandas. Requirements - Extensive experience with software architecture, design patterns, and microservices. - Expertise in cloud computing platforms such as Azure, AWS, or Google Cloud. - Strong technical leadership experience on large-scale projects in a global organization. - Experience with cloud-native architectures, containerization, and orchestration technologies (e.g., Kubernetes, Docker). - In-depth understanding of modern software development methodologies, including Agile, Scrum, and DevOps practices. - Proficiency in software development tools, such as Jira, Git, and CI/CD pipelines. - Knowledge of software architecture principles, including microservices, APIs, and containerization. - Proficiency in managing complex software development projects with competing priorities and deadlines. - Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders. - Strong analytical and problem-solving skills, with the ability to make data-driven decisions. - Ability to foster a collaborative, high-performing engineering culture. - Commitment to continuous improvement, innovation, and process optimization. - Ability to manage conflict and resolve complex team dynamics. - Strategic thinking with a focus on long-term planning and aligning engineering efforts with business goals. - High emotional intelligence and ability to manage diverse teams effectively. - Ability to operate in a fast-paced, dynamic environment with changing priorities. Benefits - Flexible work environment - Medical, dental, vision, life and disability insurance - 401(k) Retirement Plan - Flexible Spending & Health Savings Account - Paid holidays, vacation, and volunteer time - Employee assistance program and other benefits
We are a leader in supply chain software solutions, helping organizations streamline operations, reduce costs, and improve efficiency. We believe the future is better when supply chains work better. We are an equal-opportunity employer and committed to inclusion in the workplace.
Role Description We are looking for an experienced and ambitious Senior Software Engineer with Python & GenAI skills to join our growing global and distributed product development team. As a tech savvy AI software craftsman, you must have a deep understanding of coding principles, understand object-oriented programming and appreciate the agile development way of working. All developers are encouraged to consistently assist in innovation of the software development in terms of agility, DevOps and modern development technologies. This role is anything but your average Senior Software Engineer job; you will have the opportunity to work on exciting new solutions by using LLM models to improve the user experience in our warehouse management product. We operate daily stand-ups, sprint retrospectives, and SCRUM tactics. We pride ourselves as being an innovative company and provide you with all the modern tools that you will need to be successful in your lifelong career with us. What a day in the life looks like: - Design, develop & maintain AI-driven solutions using Python, LLM frameworks, APIs and modern AI tooling - Build and evolve generative AI and agentic systems, including architecture design, technical specs & design reviews - Collaborate cross-functionally with product, data & engineering teams to deliver scalable, reliable AI solutions - Deliver high-quality, unit- & integration-tested components following best practices and Agile methodologies (Scrum/Kanban) - Contribute to feature estimation, system enhancements and continuous optimisation of algorithms and AI performance - Work in a fast-paced, agile environment, taking ownership beyond your core scope and supporting broader team initiatives Qualifications - 5+ years in software engineering with strong Python skills and experience in AI/GenAI (LangChain, Google ADK, LLMs, agentic systems) - Hands-on experience building & deploying AI solutions (RAG, embeddings, fine-tuning, AI APIs & web services) - Strong data skills (PostgreSQL, vector DBs) and understanding of software architecture, design patterns & microservices - Experience with CI/CD (Azure DevOps), testing (unit/integration), Git, containers (Docker/Kubernetes) and development tools (VS Code, PyCharm) - Solid analytical mindset, strong problem-solving skills, prompt engineering expertise and understanding of responsible AI (bias/safety) - Strong communication & collaboration skills; ideally mentoring experience, Agile mindset and domain exposure (retail/logistics/supply chain) Benefits - At Infios, we're not just looking for employees; we're looking for partners in innovation, growth, and purpose. - We meet you on your journey, equipping you with the tools and opportunities to build the future you envision. - We are committed to creating a safe and welcoming environment where every individual’s unique experiences and perspectives are valued. Company Description We are a leader in supply chain software solutions, helping organizations streamline operations, reduce costs, and improve efficiency. We believe the future is better when supply chains work better. We are an equal-opportunity employer and committed to inclusion in the workplace.
UnitedHealth Group is a healthcare and well-being company that’s dedicated to improving the health outcomes of millions around the world. We are comprised of
Role Description Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. - Assist in designing, developing, and supporting GenAI/LLM-enabled features under guidance, from prototype through production. - Implement and iterate on prompt engineering patterns (prompting, prompt chaining, structured outputs) and contribute to basic evaluation approaches (quality, safety, hallucination risk, latency). - Support agent-building efforts (tool use, multi-step workflows, orchestration) and help define goals, constraints, and guardrails for safe behavior. - Build and maintain backend services using Java + Spring Boot and REST APIs to expose AI capabilities to applications; integrate with Database and event streaming via Kafka where needed. - Contribute to UI/API integration work (as needed) using React to deliver end-to-end features. - Write clean, maintainable code in Java and/or Python, applying engineering best practices and participating in code reviews. - Create and maintain automated tests (e.g., JUnit) and contribute to CI quality gates (linting, unit/integration tests). - Package and deploy services using Docker and support runtime deployments on Kubernetes; contribute to CI/CD pipelines. - Monitor and troubleshoot services using logging/observability tools (e.g., Splunk), assist with incident triage, and document fixes/runbooks. - Follow Responsible AI and secure engineering practices, including safe handling of sensitive data and adherence to internal SDLC/AIDLC standards. - Use approved productivity tools such as GitHub Copilot and Gemini to improve development speed and quality while complying with security and data-handling guidelines. - Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI. Qualifications - Bachelor’s degree. - 1+ years of experience in software engineering or ML engineering building software components production. - 1+ years of experience in Java or Python, including ability to write readable, testable, maintainable code. - 1+ years of experience building or integrating REST APIs; familiarity with Spring Boot or similar backend framework. - 1+ years of experience using Git and collaborative development practices (branches, pull requests, code reviews). - 1+ years of experience with Basic test automation experience (e.g., JUnit or Python testing frameworks). - 6+ months of experience of MongoDB (or other NoSQL) and general data modeling/querying concepts. Requirements - Familiarity with event-driven architecture concepts and/or messaging systems such as Kafka (hands-on preferred). - Foundational knowledge of AI/ML concepts, with exposure to NLP and/or LLM-based applications (e.g., summarization, extraction, Q&A). - Exposure to GenAI patterns such as prompt engineering, RAG, and/or agent workflows; ability to evaluate outputs for correctness, safety, and consistency. - Familiarity with containerization (Docker) and basic understanding of deployment environments (cloud and/or Kubernetes), CI/CD fundamentals. - Strong communication, teamwork, and problem-solving skills; comfortable working in an Agile delivery model. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase. - 401k contribution (all benefits are subject to eligibility requirements). Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
We provide the best software engineering solutions by investing in our people first.
Role Description We're looking for a Senior AI/ML Engineer to act as the bridge between data infrastructure and customer-facing AI products. You'll specialize in: - Building low-latency API layers - Production-grade RAG systems - Complex ingestion pipelines - Human-in-the-Loop workflows You'll be working alongside Data Engineers to turn raw data lakes into live AI features. Qualifications - Overall Experience: 7+ years in Backend Software Engineering and AI Application Engineering, including exposure to Distributed Systems - AI & RAG Integration: 2+ years engineering production-grade RAG pipelines, managing vector retrieval context, and implementing secure validation layers for LLMs - Prototyping & Collaboration: Proven track record working synchronously with Data Engineers to rapidly turn raw data lakes and streams into production-ready AI feature prototypes - Proficiency in Advanced API Design & GraphQL Architecture - Proficiency in RAG, Data Flows & Ingestion Pipelines - Proficiency in State Management & Human-in-the-Loop (HITL) Automation - Production fluency in Python - Working knowledge of C# (.NET Core), Java, or Node.js/TypeScript for enterprise ingestion systems Requirements - Token-aware pagination for GraphQL/REST endpoints (LLM context-safe) - Custom Model Context Protocol (MCP) server development - GraphQL schema implementation using Apollo Server or AWS AppSync - Amazon Bedrock APIs (foundational model invocation and chaining) - Knowledge Bases for Amazon Bedrock (chunking, metadata extraction, vector sync from S3) - Hybrid retrieval using OpenSearch/Elasticsearch, pgvector, and MemoryDB / Redis OSS - High-throughput ingestion workers for embedding and vector generation - Ingestion pipelines with Amazon SQS, MSK (Kafka), and log sources - Third-party SaaS analytics API integration (e.g., Pendo, Hotjar, Google Analytics) - Autonomous Bedrock Agents with action groups - Amazon Bedrock Guardrails (prompt injection blocking, PII redaction, safety alignment) - Stateful orchestration with AWS Step Functions or LangGraph - Durable HITL gating workflows (pause, persist state, resume on human approval) - Idempotent processing with automated state rollbacks and dead-letter queues (DLQ) - End-to-end event tracing with OpenTelemetry (oTel) and Datadog Benefits - Remote work - 13 floating holidays - 15 vacation days per year completed - Good working environment Company Description Every qualified candidate who meets the requirements outlined in the job description will be considered in this hiring process without distinction. Furthermore, Jalasoft is an equal opportunity employer. We wholeheartedly embrace our responsibility to make employment decisions without regard to race, age, marital or social status, national origin, disability, sex, gender identity or expression, or any other characteristic or group of candidates or employees unrelated to their qualifications and suitability for the position. Our management is committed to upholding this policy with respect.
We provide the best software engineering solutions by investing in our people first.
Role Description We're looking for a Senior AI/ML Engineer to design and build the foundational AI layers, multi-step agentic workflows, and developer tooling for the broader engineering organization. You'll focus on the internal runtime for AI: - Implementing prompt frameworks - Enforcing deterministic structured outputs - Deploying production-grade Human-in-the-Loop state automations - Turning raw context into reliable, zero-hallucination agent-based actions Qualifications - Overall Experience: 7+ years in Backend Software Engineering and AI/ML Application Engineering - Agentic Architecture: 2+ years engineering multi-step LLM workflows, autonomous agent loops, and multi-agent orchestration frameworks in production - Developer Platform Enablement: experience building internal SDKs, tools, or structured pipeline abstractions used by other product engineering teams to ship AI features rapidly - Proficiency in Multi-Step Agentic Workflows & Tooling - Proficiency in Advanced Amazon Bedrock & Prompt Engineering - Proficiency in Structured Output Pipelines & Performance Ingestion - Proficiency in State Management, Automation Consistency & HITL - Production fluency in Python - Proficiency in TypeScript/Node.js for Vercel AI SDK and AWS edge workers Requirements - Vercel AI SDK, LangGraph, or LlamaIndex for agentic orchestration - Reliable tool-calling (function-calling) interfaces for LLM-driven internal system navigation - Short-term and long-term agent memory architectures with ultra-low-latency in-memory stores (Amazon MemoryDB / Redis OSS / Valkey) - Amazon Bedrock APIs (foundational model invocation and chaining for agent loops) - Programmatic prompt optimization, few-shot prompting, dynamic context injection, and prompt caching - Amazon Bedrock Guardrails (safety gating, prompt injection mitigation, PII redaction) - Type-safe schema enforcement with Pydantic (Python) or Zod (TypeScript) - Ingestion workers consuming Amazon MSK (Kafka), SQS, and log sources - Optimistic Concurrency Control (OCC) and async write-delegation to prevent PostgreSQL deadlocks - Deterministic multi-step pipelines with AWS Step Functions or LangGraph - Durable HITL workflows (pause prior to DB writes or API transactions, persist state, resume on approval) - Idempotent execution layers for safe agent loop retries without record duplication - Working knowledge of C# (.NET Core) or Java for enterprise pipeline integrations Benefits - Remote work - 13 floating holidays - 15 vacation days per year completed - Good working environment Company Description Every qualified candidate who meets the requirements outlined in the job description will be considered in this hiring process without distinction. Furthermore, Jalasoft is an equal opportunity employer. We wholeheartedly embrace our responsibility to make employment decisions without regard to race, age, marital or social status, national origin, disability, sex, gender identity or expression, or any other characteristic or group of candidates or employees unrelated to their qualifications and suitability for the position. Our management is committed to upholding this policy with respect.
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Azure, Cloud, Java, Python, AWS, Distributed Systems